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Data warehouse ⇄ Human resources

Materialize to Paylocity integration — real-time, two-way sync

Keep Materialize and Paylocity in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Materialize and Paylocity

Land the people and organization records from Paylocity in Materialize as live tables for workforce reporting, without extract jobs, and write computed results back where Paylocity can use them.

Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether Paylocity is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Materialize next to everything else the company measures.

Stacksync syncs Local and State Taxes, Direct Deposit, Pay Statements, Company Codes from Paylocity into tables in Materialize continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Materialize, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Paylocity where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.

Common use cases

  • 01 Bridge streaming sources and non-streaming destinations by materializing joins across both.
  • 02 Sync operational CRM or ERP data into Materialize so real-time views stay current without batch loads.
  • 03 React to the Employee Change webhook to pull the updated Employee record and propagate title, location, or manager changes to downstream apps within minutes.
  • 04 Two-way sync of Employees between Paylocity and an HRIS or identity provider so new hires, terminations, and demographic edits flow both directions.

Common sync patterns

Fresh data instead of last night's load

Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.

Queryable history for planning and audit

A continuously synced copy in Materialize gives you a durable, queryable record of how Paylocity's records change over time, for headcount planning and audit questions.

Write-back of computed values

Segments, rollups, or risk flags computed in Materialize sync back onto the matching records in Paylocity, where the HR team sees them in the system they already use.

What you can sync between Materialize and Paylocity

Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.

Materialize objects Paylocity objects How this pairing syncs
Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. Direct Deposit Read-only: Get All Direct Deposit and Get Employee Bank Accounts return main and additional allocations. Bank details cannot be written through the API. Materialized Views is specific to Materialize and Direct Deposit to Paylocity — each maps to any object or custom field on the other side.
Sinks Outbound connections that emit view changes to Kafka topics. Pay Statements Read-only detailed payroll statement data — earnings, deductions, taxes, and direct deposit allocations by year, check date, or date range. Pulled for reporting, never written. Sinks is specific to Materialize and Pay Statements to Paylocity — each maps to any object or custom field on the other side.
Indexes In-memory arrangements that make view reads fast for serving workloads. Company Codes Read-only reference codes and descriptions (cost centers, departments, positions) used to validate field mappings on employee writes. Indexes is specific to Materialize and Company Codes to Paylocity — each maps to any object or custom field on the other side.
Clusters Compute pools that isolate ingestion, view maintenance, and serving. Custom Fields Read-only company-specific custom fields returned by category, used to enrich the employee record downstream. Clusters is specific to Materialize and Custom Fields to Paylocity — each maps to any object or custom field on the other side.
Connections & Secrets Stored credentials and endpoints used by sources and sinks. Employees Core HR record keyed by companyId + employeeId; two-way via Create New Employee (POST) and Update Employee (PATCH), plus Get Employee / Get All Employees for reads. Connections & Secrets is specific to Materialize and Employees to Paylocity — each maps to any object or custom field on the other side.
Schemas & Databases Namespaces that organize objects a sync targets. Onboarding Create Employee Onboarding pushes new-hire data into Paylocity's onboarding workflow; Get Onboarding Status reads back partner onboarding progress. Write-in for hires from an ATS. Schemas & Databases is specific to Materialize and Onboarding to Paylocity — each maps to any object or custom field on the other side.

How changes propagate between Materialize and Paylocity

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

Materialize Paylocity Sub-second propagation

DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.

DeliveryEach detected change is written to Paylocity through its API, with automatic retries and rate-limit backoff.

Paylocity Materialize Sub-second propagation

DetectionPaylocity notifies Stacksync of record changes through webhook events. Webhooks — Paylocity POSTs Employee New Hire, Employee Change, Termination, Payroll Processed, and Time Off Approval events to a callback URL.

DeliveryEach detected change is applied to Materialize as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Paylocity: 25 requests per second (1,500 per minute); exceeding it returns HTTP 429. Every path is scoped to a Paylocity-assigned companyId (a company code, not a UUID).
What ships with Materialize ⇄ Paylocity

Connect Materialize and Paylocity for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Materialize–Paylocity connection.

Real-time

Two-way sync

Changes in Materialize or Paylocity instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Materialize or Paylocity data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Materialize or Paylocity record.

Observability

Monitoring

Track your Materialize ⇄ Paylocity sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Materialize and Paylocity.

How the Materialize and Paylocity connectors work

Materialize

Integration surface
PostgreSQL wire protocol (SQL)
Authentication
Database credentials (username/password; app passwords in the managed cloud service)
Change detection
SUBSCRIBE queries stream row-level changes of any view or table to the client
Capabilities
read · write · CDC

Paylocity

Integration surface
REST API (v1 and v2), JSON payloads
Authentication
OAuth 2.0 client credentials via the Paylocity Identity Provider (/IdentityServer/connect/token) with the WebLinkAPI scope; access tokens expire after one hour and API access must be enabled by Paylocity for the company
Change detection
Webhooks — Paylocity POSTs Employee New Hire, Employee Change, Termination, Payroll Processed, and Time Off Approval events to a callback URL; payloads carry only companyId and employeeId, so the receiver calls the relevant API to fetch changed values. Scheduled polling is used for objects without webhooks.
Capabilities
read · write · webhooks
Rate limits
25 requests per second (1,500 per minute); exceeding it returns HTTP 429. Every path is scoped to a Paylocity-assigned companyId (a company code, not a UUID).
How it works

How to connect Materialize to Paylocity — three steps, no code

Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.

  1. 01

    Connect your apps

    Authenticate Materialize and Paylocity with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Materialize connected
    Paylocity connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Materialize and Paylocity objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Materialize ⇄ Paylocity
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Materialize Paylocity
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Materialize and Paylocity integration FAQ

SECURITY

Security teams trust Stacksync

As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 437 integrations available for Materialize and Paylocity.

Popular · 8 of 437
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